What is ApplyFlow Radar?

A hosted workflow radar for local-first AI job search teams that need job fit scoring, portal scan planning, application evidence, and export-ready career operations.

Does the service submit applications automatically?

No. The workflow is designed for human-approved job search decisions, evidence review, and exportable tracking.

How does annual billing work?

Annual checkout uses a 50% discount and is a one-time purchase for the selected cycle with no automatic renewal.

Visitors are searching the repository path and need a clear independent workspace option.

A workspace for teams evaluating santifer/career-ops style job search operations

ApplyFlow Radar helps teams evaluate whether a career-ops style flow fits their job search. It keeps the hosted product focused on scoring, scan planning, receipts, and dashboard exports.

View pricing plans

When this page helps

Evaluate the repository before local rollout
Share a non-sensitive workflow preview
Create a paid dashboard for recurring search work

How the workflow runs

Open the independent workbench
Paste a role, target region, and profile facts
Review the scorecard
Checkout to save and export the workflow

Risks to review first

This is independent from santifer/career-ops
Hosted previews should use minimized profile data
Local installation details should follow upstream docs

Product bridge

Use the workbench before you commit to a job search sprint.

ApplyFlow Radar converts this intent into a scorecard: fit signal, missing evidence, portal plan, human approval point, and export-ready receipt. The free preview shows the structure; paid checkout unlocks saved results and larger workflow limits.

Sample receipt Evaluate the workflow

Expected output: score, source URL, evidence gaps, risk notes, next action, and tracker export.

Related workflows

Continue from this search intent.

Open Source AI Job Search Workflow RadarVisitors want a practical open source AI job search workflow, not another generic resume builder.Job Portal Scanner AI for Greenhouse, Ashby, Lever, and Career PagesVisitors want to scan ATS-backed career pages and turn scattered roles into a decision queue.Career-ops GitHub Workflow CompanionVisitors searching for the GitHub project need a practical way to understand and operationalize the workflow.Career-ops AI Readiness WorkbenchVisitors want to know how AI helps the job search without blindly submitting applications.Career-ops Plugin and Workflow Extension PlanningVisitors are looking for plugin or extension paths around the workflow.How to Use Career-ops Without Losing the Application TrailVisitors want a usage path, setup order, and practical operating model.